Wed, 2013-04-17 13:54 | 
This thesis addresses the real time stochastic vehicle routing problem and researches the applicability of on - line optimization algorithms. Vehicle routing problem applications can be found in dynamic traffic assignment problem as well as in fleet management of urban and interurban transportation, for both passenger and freight transport. Recognition of the influence of the uncertainty of traffic conditions in real networks and volatility – stochasticity of important parameters that form the optimal fleet management problems brought special research interest in both field of transportation and operational research. Network stochasticity and real-time data usage makes necessary the development of robust algorithms that have the ability to support decision making in real time. Primary objective of the thesis is to develop appropriate mathematical models that solve the stochastic vehicle routing problem. The developed models are stochastic programming models. Key objectives of this research are both the analysis of stochasticity in developing models and algorithms for routing problems and the analysis of problem’s properties and characteristics conditions.
Ph.D Candidate:
Chrisohoou Evangelia
Department:
Department of Mechanical Engineering
School:
School of Engineering
Supervisor:
Prof. Ath. Ziliaskopoulos (ziliasko@uth.gr)
Supervising Committee:
(1)Thanasis Ziliaskopoulos (2)George Liberopoulos(3)George Kozanidis Παραδοτέα έργου δημοσίως προσβάσιμα:
